Monitoring, Evaluation and Learning (MEL) intern - Fort portal, INCLUDE Project.

SNV; Delft; On-site; EUR 40,000 - 60,000; Full time

Job summary

SNV is seeking a Monitoring, Evaluation and Learning (MEL) support role to strengthen data quality and reporting for the INCLUDE project. The candidate will work with Local Service Providers and Community-Based Facilitators, verify records and coach teams on data collection tools.

You will monitor field activities, compile datasets, prepare tables and charts, and support district-level feedback loops to inform decisions and learning.

Qualifications

• Bachelor's degree in Statistics, Computer Science, Information Technology or Agriculture.
• At least two years of experience in MEL activities within development programmes.
• Practical experience with digital data collection platforms, LogAlto or an equivalent such as ODK or KoboToolbox.
• Strong skills in Excel and data management. Working knowledge of a statistical or visualisation tool (SPSS, Stata, R or Power BI) is an added advantage.

Responsibilities

• Data quality: Run scheduled data quality assessments on LogAlto and field records. Check accuracy, completeness, timeliness and consistency, and flag errors, duplicates and missing fields for correction.
• Field monitoring: Monitor field activities delivered by LSPs and CBFs. Observe sessions, spot-check farmer registration and VLLG records against source documents, and confirm that reported figures match field reality.
• Reporting: Compile monitoring data into clean datasets and draft inputs for routine, quarterly reports. Prepare simple tables and charts that trace back to source files.
• Coaching: Coach LSP and CBF teams on data collection tools, mobile data entry and record management. Give practical feedback that improves the quality of what they submit.
• Data use: Support review meetings, pause-and-reflect sessions and feedback to district teams, so that evidence informs decisions and corrective action.
• Records: Keep field MEL records, filing, and the data audit trail current and well organised.

Skills

MEL experience

Excel

Data management

Power BI

Education

Bachelor's degree in Statistics, Computer Science, Information Technology or Agriculture

Tools

LogAlto

ODK

KoboToolbox

Job description

Company Description

SNV is a mission-driven global development partner with more than 60 years of experience strengthening agri-food, energy and water systems across Africa and Asia. Working at the intersection of climate resilience, gender equality and social inclusion, and strong institutions and effective governance, SNV helps people pursue equitable and sustainable livelihoods while contributing to resilient and inclusive societies.

SNV has been working in Uganda for more than 35 years and partners with government, the private sector, civil society, communities and development partners to deliver innovative and scalable approaches that improve food security and nutrition, expand access to sustainable energy, and strengthen water, sanitation and hygiene services. Through its Country Office in Kampala and regional offices in Fort Portal, Rukungiri, Jinja, Gulu and Lira, SNV implements programmes across more than 100 districts nationwide, creating sustainable impact at scale.

At SNV, our people drive our impact. We are committed to fostering an inclusive, diverse and purpose-driven workplace where talented professionals can grow, collaborate and contribute to lasting development outcomes for communities across Uganda and beyond.

For more information, visit our website: www.snv.org.

Background

INCLUDE supports 90,000 smallholder farmers across 10 districts in four sub-regions through sustainable livestock production and inclusive markets. SNV delivers the project with EKN funding from April 2024 to March 2029. The MEL function tracks results against the EKN Result Framework and the FNS IGG indicators and turns field data into learning that shapes delivery.

Purpose of the position

He/she will support the MEL team in collecting, checking and using high-quality data from field activities. Works closely with Local Service Providers (LSPs) and Community-Based Facilitators (CBFs), verifies their records, coaches them on correct methods, and helps the team report accurate results on time.

Job Description

Key responsibilities

• Data quality. Run scheduled data quality assessments on LogAlto and field records. Check accuracy, completeness, timeliness and consistency, and flag errors, duplicates and missing fields for correction.
• Field monitoring. Monitor field activities delivered by LSPs and CBFs. Observe sessions, spot-check farmer registration and VLLG records against source documents, and confirm that reported figures match field reality.
• Reporting. Compile monitoring data into clean datasets and draft inputs for routine, quarterly reports. Prepare simple tables and charts that trace back to source files.
• Coaching. Coach LSP and CBF teams on data collection tools, mobile data entry and record management. Give practical feedback that improves the quality of what they submit.
• Data use. Support review meetings, pause-and-reflect sessions and feedback to district teams, so that evidence informs decisions and corrective action.
• Records. Keep field MEL records, filing, and the data audit trail current and well organised.

Qualifications

Qualifications and experience

• Bachelor's degree in Statistics, Computer Science, Information Technology or Agriculture.
• At least two years of experience in MEL activities within development programmes.
• Practical experience with digital data collection platforms, LogAlto or an equivalent such as ODK or KoboToolbox.
• Strong skills in Excel and data management. Working knowledge of a statistical or visualisation tool (SPSS, Stata, R or Power BI) is an added advantage.

Additional Information

Competencies

• Accurate, detail-focused and organised with data and documentation.
• Clear communicator who coaches field teams with patience and respect.
• Able to work independently in field conditions and travel across assigned districts.
• Fluent in English and a relevant regional language for the assigned sub-region.

Deadline is Monday 9th November 2026.

Working at SNV

We offer a challenging work environment, opportunities to lead and innovate, and a commitment to growing your skills in a fulfilling and diverse working environment. Our staff benefit from and contribute to an international global network of experts. For more information, please visit our website: www.snv.org.

NB: only shortlisted candidates will be contacted.

We do not appreciate third-party mediation based on this advertisement.